During the shield construction of Harbin Subway Line No. 3 Project, the average ground settlement exceeds the warning value. In order to find the cause of settlement and improve it, this paper establishes a settlement prediction model to analyse the potential influencing factors based on the Deep Belief Network (DBN) and calculated the correlation degree between influencing factors and settlement through sensitivity analysis. It was found that the permeability coefficients of layer and cutter head torque are the main factors affecting settlement. Then, corresponding muck improvement measures were made according to the analysis of the layer conditions, which successfully reduced the permeability and shear strength of the muck, thereby controlling the surface settlement value within the warning range. The research results in this paper illustrate the applicability and robustness of DBN in tunnel engineering, and the related research ideas can be applied to other projects.

中文翻译：

---

盾构隧道诱发高渗砂层地层沉降：以DBN为指导的案例研究

哈尔滨地铁3号线工程盾构施工期间，地面平均沉降超过警戒值。为了找到沉降的原因并加以改进，本文基于深度信念网络（DBN）建立沉降预测模型对潜在影响因素进行分析，并通过敏感性分析计算影响因素与沉降的相关度。研究发现，地层渗透系数和刀盘扭矩是影响沉降的主要因素。然后，根据地层状况分析，采取相应的渣土改良措施，成功降低了渣土的渗透性和抗剪强度，从而将地表沉降值控制在警戒范围内。